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Sensors 2014, 14(5), 9210-9226; doi:10.3390/s140509210
Article

Comparative Study on a Solving Model and Algorithm for a Flush Air Data Sensing System

1,* , 1
 and 2
Received: 17 March 2014; in revised form: 13 May 2014 / Accepted: 19 May 2014 / Published: 23 May 2014
(This article belongs to the Section Physical Sensors)
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Abstract: With the development of high-performance aircraft, precise air data are necessary to complete challenging tasks such as flight maneuvering with large angles of attack and high speed. As a result, the flush air data sensing system (FADS) was developed to satisfy the stricter control demands. In this paper, comparative stuides on the solving model and algorithm for FADS are conducted. First, the basic principles of FADS are given to elucidate the nonlinear relations between the inputs and the outputs. Then, several different solving models and algorithms of FADS are provided to compute the air data, including the angle of attck, sideslip angle, dynamic pressure and static pressure. Afterwards, the evaluation criteria of the resulting models and algorithms are discussed to satisfy the real design demands. Futhermore, a simulation using these algorithms is performed to identify the properites of the distinct models and algorithms such as the measuring precision and real-time features. The advantages of these models and algorithms corresponding to the different flight conditions are also analyzed, furthermore, some suggestions on their engineering applications are proposed to help future research.
Keywords: flush air data sensing system; solving model; measuring precision; real-time feature; neural network flush air data sensing system; solving model; measuring precision; real-time feature; neural network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Liu, Y.; Xiao, D.; Lu, Y. Comparative Study on a Solving Model and Algorithm for a Flush Air Data Sensing System. Sensors 2014, 14, 9210-9226.

AMA Style

Liu Y, Xiao D, Lu Y. Comparative Study on a Solving Model and Algorithm for a Flush Air Data Sensing System. Sensors. 2014; 14(5):9210-9226.

Chicago/Turabian Style

Liu, Yanbin; Xiao, Dibo; Lu, Yuping. 2014. "Comparative Study on a Solving Model and Algorithm for a Flush Air Data Sensing System." Sensors 14, no. 5: 9210-9226.



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